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Article type: Research Article
Authors: Wei, Gui-Wua | Xu, Xin-Ruib; * | Deng, De-Xueb
Affiliations: [a] School of Business, Sichuan Normal University, Chengdu, Sichuan 610101, China | [b] School of Economics and Management, Chongqing University of Arts and Sciences, Yongchuan, Chongqing 402160, China
Correspondence: [*] Corresponding author: Xin-Rui Xu, School of Economics and Management, Chongqing University of Arts and Sciences, Yongchuan, Chongqing 402160, China. E-mail:[email protected]
Abstract: In this paper, we investigate the multiple attribute decision making (MADM) problem based on the geometric aggregation operators with interval-valued dual hesitant fuzzy linguistic information. Then, motivated by the ideal of traditional geometric operation, we have developed some geometric aggregation operators for aggregating interval-valued dual hesitant fuzzy linguistic information: interval-valued dual hesitant fuzzy linguistic weighted geometric (IVDHFLWG) operator, interval-valued dual hesitant fuzzy linguistic ordered weighted geometric (IVDHFLOWG) operator and Interval-valued dual hesitant fuzzy linguistic hybrid geometric (IVDHFLHG) operator. Then, we have utilized these operators to develop some approaches to solve the interval-valued dual hesitant fuzzy linguistic multiple attribute decision making problems. Finally, a practical example for risk evaluation of the logistics outsourcing service providers in the engineering material procurement is given to verify the developed approach and to demonstrate its practicality and effectiveness.
Keywords: Multiple attribute decision making (MADM), interval-valued dual hesitant fuzzy linguistic values, interval-valued dual hesitant fuzzy linguistic hybrid geometric (IVDHFLHG) operator, interval-valued dual hesitant fuzzy linguistic set, risk evaluation, logistics outsourcing service providers, engineering material procurement
DOI: 10.3233/KES-160337
Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 20, no. 4, pp. 189-196, 2016
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